Electromechanical Mode Online Estimation Using Regularized Robust RLS Methods
Authors:
- Daniel J. TrudnowskiDTDaniel J. Trudnowski
- John W. PierreJPJohn W. Pierre
- William A. MittelstadtWMWilliam A. Mittelstadt
- 29 August 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 23 (4) , 1670-1680
Abstract
This paper proposes a regularized robust recursive least squares (R3LS) method for online estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data. The proposed method utilizes an autoregressive moving average exogenous (ARMAX) model to account for typical measurement data, which includes low-level pseudo-random probing, ambient, and ringdown data. A robust objective function is utilized to reduce the negative influence from nontypical data, which include outliers and missing data. A dynamic regularization method is introduced to help include a priori knowledge about the system and reduce the influence of under-determined problems. Based on a 17-machine simulation model, it is shown through the Monte Carlo method that the proposed R3LS method can estimate and track electromechanical modes by effectively using combined typical and nontypical measurement data.Keywords
This publication has 17 references indexed in Scilit:
- Performance of Three Mode-Meter Block-Processing Algorithms for Automated Dynamic Stability AssessmentIEEE Transactions on Power Systems, 2008
- Robust RLS Methods for Online Estimation of Power System Electromechanical ModesIEEE Transactions on Power Systems, 2007
- A Perspective on WAMS Analysis Tools for Tracking of Oscillatory Dynamics2007 IEEE Power Engineering Society General Meeting, 2007
- Nonlinear, Non-Stationary Analysis of Interarea Oscillations via Hilbert Spectral AnalysisIEEE Transactions on Power Systems, 2006
- Oscillatory Stability Limit Prediction Using Stochastic Subspace IdentificationIEEE Transactions on Power Systems, 2006
- Dynamically regularized fast RLS with application to echo cancellation2002
- Use of least-mean squares (LMS) adaptive filtering technique for estimating low-frequency electromechanical modes in power systems2002
- A directional forgetting algorithm based on the decomposition of the information matrixAutomatica, 2000
- Performance comparison of three identification methods for the analysis of electromechanical oscillationsIEEE Transactions on Power Systems, 1999
- Initial results in Prony analysis of power system response signalsIEEE Transactions on Power Systems, 1990